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Merge pull request #1545 from cgohlke/patch-1
DOC: add WinPython distribution; correct spelling
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@@ -32,30 +32,31 @@ system below.
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Windows
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-------
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Scikit-image comes with the Python distributions Anaconda_,
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`Enthought Canopy`_ and `Python(x,y)`_. If you install any of
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them, scikit-image should already be installed.
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`Enthought Canopy`_, `Python(x,y)`_, and `WinPython`_.
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If you install any of them, scikit-image should already be installed.
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.. _Anaconda: https://store.continuum.io/cshop/anaconda/
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.. _Enthought Canopy: https://www.enthought.com/products/canopy/
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.. _Python(x,y): http://code.google.com/p/pythonxy/wiki/Welcome
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.. _WinPython: https://winpython.github.io/
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If you prefer the regular Python distribution from python.org_, you can
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install scikit-image manually by downloading packages. You will need numpy_,
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scipy_ and the scikit-image package. You can find the packages in `Cristoph
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scipy_ and the scikit-image package. You can find the packages in `Christoph
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Gohlke's`_ web page with compiled Python packages. Here is the direct link to
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the `scipy section`_, `numpy section`_ and `scikit-image section`_. Make sure
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you download the right version for your system. E.g. numpy for Python 3.4 64
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bit would be ``numpy‑1.9.2+mkl‑cp34‑none‑win_amd64.whl``.
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bit would be ``numpy-1.9.2+mkl-cp34-none-win_amd64.whl``.
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To install Goehlke's packages, use pip::
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To install Gohlke's packages, use pip::
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pip install wheel
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pip install --find-links Downloads scikit-image
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Here ``--find-links Downloads`` means that pip will look for packages in the
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folder named `Downloads`. Make sure that is where you saved the packages from
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Goehlke.
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Gohlke.
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As you see, installing scikit-image with pip requires some extra manual labor,
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so using a Python distribution is recommended on Windows.
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@@ -81,7 +82,7 @@ into the `setup of appveyor`_ (a continious integration service).
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.. _python.org: http://python.org/
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.. _numpy: http://www.numpy.org/
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.. _scipy: http://www.scipy.org/
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.. _Cristoph Gohlke's: http://www.lfd.uci.edu/~gohlke/pythonlibs/
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.. _Christoph Gohlke's: http://www.lfd.uci.edu/~gohlke/pythonlibs/
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.. _numpy section: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy
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.. _scipy section: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy
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.. _scikit-image section: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scikit-image
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